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LangChainThe open agent platform to own your intelligence
vs
MakeAI automation you can visually build and orchestrate in real time.
Comparison · AI Agents · weekly run Nov 3

LangChain vs Make

Which one do AI engines recommend, and how do they differ on price, fit and features?

The short answer

Make is the stronger AI pick in AI Agents: it has a visibility score of 17 versus 10.4 for LangChain, and ranks ahead in 50% of the answers that name both.

Choose LangChain if…

  • You need a self-hosted or on-premises option
  • Stateful multi-agent orchestration via state graphs
  • Strong open-source adoption with large download numbers
  • Suited to enterprise agent loops

Choose Make if…

  • You want the brand AI engines rank higher (17 vs 10.4)
  • AI answers describe it more positively (41% vs 17% positive)
  • You need GDPR or SOC 2 Type II or SOC 3 or ISO 27001 coverage
  • Free tier with 1,000 credits per month

AI visibility side by side

Latest weekly run · Nov 3

Metric LangChain Make
Visibility score10.4%17%
Change vs last weekNewNew
Rank in AI Agents#12#9
Share of voice2.7%3.6%
Mentions this run1824
Positive in AI answers17%41%

The stronger value in each row is marked with a ✓.

Visibility score trend

Weekly runs over the last 60 days

0%25%50%75%100%Nov 3LangChain 10%

LangChain 0pp · Make 0pp over 0 weekly runs.

Engine by engine

Make leads on 2 of 3 engines

ChatGPT
12.6%
13.3%
AI Mode
13.3%
5.9%
Perplexity
5.2%
31.9%
LangChainMake

Head to head in AI answers

4 engine answers name both brands

2LangChain ranked higher
2Make ranked higher

Features, pricing & fit

DimensionLangChainMake
Pricing modelPer seat—
Entry priceFree; paid from $39 per seat / mo—
Free planYes—
DeploymentCloud (SaaS), hybrid (SaaS control plane with self-hosted data plane), or self-hosted in the customer's VPCCloud, hosted on Amazon AWS
Integrations—3500+
Compliance—GDPR, SOC 2 Type II, SOC 3, ISO 27001
SupportCommunity forum, Support portal, Email support, SlackHelp center, Community forum, 24/7 support on Enterprise plans, Dedicated support team on Enterprise plans
Founded20232012
HeadquartersSan Francisco, CA, United StatesPrague, Czech Republic
Employees201–500201–500
FundingSeries B, led by IVP—
Best forTeams building agents that need control over models, context, memory and deployment, and the ability to test, govern and improve them in productionTeams and organizations deploying AI and automation across the business, from a single department to company-wide.

Plans side by side

LangChain

Developer$0seat per month, then pay as you go
Plus$39seat per month, then pay as you go
EnterpriseCustomcustom pricing, then pay as you go
LangChain pricing

Make

Pricing not available.

Pros and cons

Themes from the AI answers that mention each brand

LangChain

  • Stateful multi-agent orchestration via state graphs
  • Strong open-source adoption with large download numbers
  • Suited to enterprise agent loops
  • Heavy developer framework that requires coding

Make

  • Free tier with 1,000 credits per month
  • Transparent pricing with paid plans from $12/month
  • Visual, no-code automation between existing apps
  • Integrations with more than 3,000 apps
  • Built-in AI agents for business workflows

    Data collected ·ChatGPT, Perplexity, Google AI Mode·coverage 100%·next run

    Cite as: SlateIndex, “LangChain vs Make”, https://slateindex.ai/compare/langchain-vs-make, data of Nov 3, 2026. Licence: CC BY 4.0.